| Peer assessment rubric analyzer: An nlp approach to analyzing rubric items for better peer-review MP Rashid, EF Gehringer, M Young, D Doshi, Q Jia, Y Xiao 2021 19th International Conference on Information Technology Based Higher …, 2021 | 4 | 2021 |
| Labels are not necessary: Assessing peer-review helpfulness using domain adaptation based on self-training C Liu, D Doshi, M Bhargava, R Shang, J Cui, D Xu, E Gehringer Proceedings of the 18th Workshop on Innovative Use of NLP for Building …, 2023 | 1 | 2023 |
| Less But Enough: Evaluation of peer reviews through pseudo-labeling with less annotated data C Liu, D Doshi, R Shang, J Cui, Q Jia, E Gehringer Journal of Educational Data Mining 15 (2), 123-140, 2023 | 1 | 2023 |
| ReffAKD: Resource-efficient Autoencoder-based Knowledge Distillation D Doshi, JE Kim arXiv preprint arXiv:2404.09886, 2024 | | 2024 |
| " Can we reach agreement?": A context-and semantic-based clustering approach with semi-supervised text-feature extraction for finding disagreement in peer-assessment formative … MP Rashid, D Doshi, SV Vinay, Q Jia, EF Gehringer Proceedings of the 16th International Conference on Educational Data Mining …, 2023 | | 2023 |
